Prompt

What's the best speech-to-text API for transcribing noisy customer support calls with speaker diarization?

Latest observation

Jul 20, 2026 · OpenAI APIWeb search: off

For noisy customer support calls with speaker diarization, the best choice depends on what you mean by “best”:

Best overall for call-center accuracy + diarization

AssemblyAI

  • Strong transcription on messy, real-world audio
  • Good speaker diarization
  • Useful call-center features like sentiment, PII redaction, chapters, summaries
  • Easy API and strong developer experience

Best for enterprise-scale + broad speech features

Google Cloud Speech-to-Text

  • Very solid accuracy, especially if your audio is decent
  • Supports speaker diarization
  • Good for production workloads
  • Strong global infrastructure and reliability

Best if you need strong customization / telephony workflows

Deepgram

  • Often excellent on noisy, low-bandwidth, phone-style audio
  • Supports diarization
  • Fast, developer-friendly, good streaming support
  • Frequently chosen for contact-center use cases

Best if you want flexibility and can self-host

OpenAI Whisper-based solutions

  • Good general transcription quality
  • But native diarization is not built in
  • You’d need a separate diarization layer, which adds complexity

My practical recommendation

If your main use case is customer support calls, I’d start with:

  1. Deepgram if you care most about noisy phone audio and streaming
  2. AssemblyAI if you want a very strong out-of-the-box call analytics package
  3. Google Cloud STT if you already use GCP and want enterprise integration

What to look for specifically

For your case, prioritize:

  • Robustness to phone audio / background noise
  • Speaker diarization quality
  • Streaming transcription latency
  • Word-level timestamps
  • Punctuation and formatting
  • Call-center add-ons like sentiment, redaction, summarization
  • Cost at scale

Short answer

If I had to pick one for noisy customer support calls with diarization, I’d say:

Deepgram for the best balance of noisy-audio performance and diarization,
with AssemblyAI as the best alternative if you want richer call analytics.

If you want, I can also give you a side-by-side comparison table of Deepgram vs AssemblyAI vs Google Cloud vs AWS vs OpenAI for this exact use case.

Observation history

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Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

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